Scientific Data Visualizations

CORH 203

Mathew Vis-Dunbar

October, 2022

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
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##   32 | 
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##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
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##   31 | 
##   32 | 
##   33 | 
##   34 | 
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##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
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##   31 | 
##   32 | 
##   33 | 
##   34 | 
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##   36 | 
##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
##   30 | 
##   31 | 
##   32 | 
##   33 | 
##   34 | 
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##   36 | 
##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
##   30 | 
##   31 | 
##   32 | 
##   33 | 
##   34 | 
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##   36 | 
##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
##   30 | 
##   31 | 
##   32 | 
##   33 | 
##   34 | 
##   35 | 
##   36 | 
##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
##   30 | 
##   31 | 
##   32 | 
##   33 | 
##   34 | 
##   35 | 
##   36 | 
##   37 | 1

135 202 210 210 215 217 230 230 233 237 246 250 250 250 255 259 260 260 265 268 270 276 280 280 280 281 286 290 291 300 300 300 301 306 310 310 314 315 320 325 327 329 330 332 336 338 340 350 350 350 350 352 360 360 360 360 375 377 380 380 383 390 390 392 407 410 411 420 420 424 425 430 431 435 444 445 450 460 460 465 470 490 500 500 505 524 525 525 529 538 540 545 560 570 600 600 600 605 610 618 620 625 630 652 671 680 696 710 720 720 730 735 735 760 780 800 840 850 870 890 900 900 906 981 1000 1038 1054 1100 1171 1205 1243 1270 1306 1450 1459 1770 1885 2315 2348 2533 3710

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##    1 | 4
##    2 | 0112233345555666677788888999
##    3 | 00001111223333344455555666688888999
##    4 | 111222333445566779
##    5 | 001233344567
##    6 | 000112233578
##    7 | 012234468
##    8 | 04579
##    9 | 0018
##   10 | 045
##   11 | 07
##   12 | 147
##   13 | 1
##   14 | 56
##   15 | 
##   16 | 
##   17 | 7
##   18 | 9
##   19 | 
##   20 | 
##   21 | 
##   22 | 
##   23 | 25
##   24 | 
##   25 | 3
##   26 | 
##   27 | 
##   28 | 
##   29 | 
##   30 | 
##   31 | 
##   32 | 
##   33 | 
##   34 | 
##   35 | 
##   36 | 
##   37 | 1

Overview

What We’re Not Talking About

What is Data Visualization?

What is Data Visualization?

Data visualization turns data into visual information. We could turn data into auditory or tactile information as well.

What is Data Visualization?

Data visualization turns data into visual information. We could turn data into auditory or tactile information as well.

This involves abstraction as shapes, colours etc are used represent the data.

What is Data Visualization?

Data visualization turns data into visual information. We could turn data into auditory or tactile information as well.

This involves abstraction as shapes, colours etc which are used represent the data.

Visual and data literacies are needed to interpret both the data and the abstraction.

Why Do We Visualize Data?

A Defintion

Data visualization is the graphical display of abstract information for two purposes: sense-making (also called data analysis) and communication.

Stephen Few. Data Visualization for Human Perception.

Attributes & Perception

Even though an object as a whole might take some conscious effort to identify, the basic visual attributes that combine to make up that object are perceived without any conscious effort.

Stephen Few (2004). Tapping the Power of Visual Perception.

An Example

An Example

Preattentive Attributes

Form

Colour

Position

Preattentive Attributes

Common Visualizations

Basic Data Types

Categorical Data

Nominal data

No order

Ordinal data

Intrinsic order

Categorical Data

Nominal data

No order

Ordinal data

Intrinsic order

Bar Plots

Visualization tool

Frequency plots with bar charts

species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex year
Chinstrap Dream 43.5 18.1 202 3400 female 2009
Gentoo Biscoe 43.6 13.9 217 4900 female 2008
Gentoo Biscoe 48.1 15.1 209 5500 male 2009
Gentoo Biscoe 46.8 14.3 215 4850 female 2009
Gentoo Biscoe 48.5 14.1 220 5300 male 2008
Chinstrap Dream 42.4 17.3 181 3600 female 2007
Gentoo Biscoe 46.1 15.1 215 5100 male 2007
Adelie Torgersen 35.5 17.5 190 3700 female 2008
Adelie Torgersen 38.5 17.9 190 3325 female 2009
Chinstrap Dream 52.8 20.0 205 4550 male 2008
Chinstrap Dream 49.7 18.6 195 3600 male 2008
Adelie Biscoe 37.6 17.0 185 3600 female 2008
Adelie Dream 41.1 17.5 190 3900 male 2009
Gentoo Biscoe 45.2 13.8 215 4750 female 2008
Chinstrap Dream 47.0 17.3 185 3700 female 2007
Adelie Biscoe 42.0 19.5 200 4050 male 2008
Adelie Biscoe 45.6 20.3 191 4600 male 2009
Gentoo Biscoe 46.2 14.5 209 4800 female 2007
Adelie Dream 42.2 18.5 180 3550 female 2007
Adelie Biscoe 43.2 19.0 197 4775 male 2009

species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex year
Chinstrap Dream 43.5 18.1 202 3400 female 2009
Gentoo Biscoe 43.6 13.9 217 4900 female 2008
Gentoo Biscoe 48.1 15.1 209 5500 male 2009
Gentoo Biscoe 46.8 14.3 215 4850 female 2009
Gentoo Biscoe 48.5 14.1 220 5300 male 2008
Chinstrap Dream 42.4 17.3 181 3600 female 2007
Gentoo Biscoe 46.1 15.1 215 5100 male 2007
Adelie Torgersen 35.5 17.5 190 3700 female 2008
Adelie Torgersen 38.5 17.9 190 3325 female 2009
Chinstrap Dream 52.8 20.0 205 4550 male 2008
Chinstrap Dream 49.7 18.6 195 3600 male 2008
Adelie Biscoe 37.6 17.0 185 3600 female 2008
Adelie Dream 41.1 17.5 190 3900 male 2009
Gentoo Biscoe 45.2 13.8 215 4750 female 2008
Chinstrap Dream 47.0 17.3 185 3700 female 2007
Adelie Biscoe 42.0 19.5 200 4050 male 2008
Adelie Biscoe 45.6 20.3 191 4600 male 2009
Gentoo Biscoe 46.2 14.5 209 4800 female 2007
Adelie Dream 42.2 18.5 180 3550 female 2007
Adelie Biscoe 43.2 19.0 197 4775 male 2009

carat cut color clarity depth table price x y z
0.57 Ideal G VS2 61.6 57.0 1728 5.36 5.32 3.29
1.01 Ideal D SI2 61.3 54.0 4916 6.47 6.52 3.99
0.45 Fair F VS2 67.0 56.0 923 4.77 4.70 3.17
1.04 Premium H VVS2 59.1 60.0 6278 6.66 6.60 3.92
0.90 Very Good G VVS2 59.8 60.0 5102 6.23 6.28 3.74
1.20 Very Good I VS2 62.3 56.0 5955 6.76 6.81 4.23
1.25 Premium F I1 58.0 59.0 3724 7.12 7.05 4.11
1.52 Premium G VVS2 62.1 58.0 14105 7.40 7.31 4.57
1.03 Very Good D SI2 61.3 61.0 4679 6.46 6.49 3.97
0.44 Premium E SI1 62.3 58.0 778 4.85 4.88 3.03
1.13 Ideal E VVS2 60.1 59.0 11387 6.77 6.81 4.08
1.11 Good H SI2 63.5 60.3 4456 6.49 6.58 4.15
1.00 Fair H VS2 64.8 62.0 4861 6.22 6.13 4.00
0.44 Very Good H IF 61.1 57.0 1194 4.91 4.94 3.01
1.12 Ideal G VS1 61.0 56.0 7632 6.76 6.72 4.11
0.91 Ideal H VS2 62.4 56.0 4678 6.20 6.14 3.85
1.50 Premium D SI2 62.6 59.0 8108 7.20 7.23 4.52
1.03 Premium E SI2 61.8 59.0 4845 6.47 6.42 3.98
0.71 Fair F SI1 59.8 70.0 2458 5.89 5.72 3.48
1.32 Ideal E VS2 62.0 56.0 10919 7.02 7.07 4.37

carat cut color clarity depth table price x y z
0.57 Ideal G VS2 61.6 57.0 1728 5.36 5.32 3.29
1.01 Ideal D SI2 61.3 54.0 4916 6.47 6.52 3.99
0.45 Fair F VS2 67.0 56.0 923 4.77 4.70 3.17
1.04 Premium H VVS2 59.1 60.0 6278 6.66 6.60 3.92
0.90 Very Good G VVS2 59.8 60.0 5102 6.23 6.28 3.74
1.20 Very Good I VS2 62.3 56.0 5955 6.76 6.81 4.23
1.25 Premium F I1 58.0 59.0 3724 7.12 7.05 4.11
1.52 Premium G VVS2 62.1 58.0 14105 7.40 7.31 4.57
1.03 Very Good D SI2 61.3 61.0 4679 6.46 6.49 3.97
0.44 Premium E SI1 62.3 58.0 778 4.85 4.88 3.03
1.13 Ideal E VVS2 60.1 59.0 11387 6.77 6.81 4.08
1.11 Good H SI2 63.5 60.3 4456 6.49 6.58 4.15
1.00 Fair H VS2 64.8 62.0 4861 6.22 6.13 4.00
0.44 Very Good H IF 61.1 57.0 1194 4.91 4.94 3.01
1.12 Ideal G VS1 61.0 56.0 7632 6.76 6.72 4.11
0.91 Ideal H VS2 62.4 56.0 4678 6.20 6.14 3.85
1.50 Premium D SI2 62.6 59.0 8108 7.20 7.23 4.52
1.03 Premium E SI2 61.8 59.0 4845 6.47 6.42 3.98
0.71 Fair F SI1 59.8 70.0 2458 5.89 5.72 3.48
1.32 Ideal E VS2 62.0 56.0 10919 7.02 7.07 4.37

Things to Consider

Summary count of Penguins by species. n = 344

Bar Charts with more than one Categorical Variable

carat cut color clarity depth table price x y z
0.57 Ideal G VS2 61.6 57.0 1728 5.36 5.32 3.29
1.01 Ideal D SI2 61.3 54.0 4916 6.47 6.52 3.99
0.45 Fair F VS2 67.0 56.0 923 4.77 4.70 3.17
1.04 Premium H VVS2 59.1 60.0 6278 6.66 6.60 3.92
0.90 Very Good G VVS2 59.8 60.0 5102 6.23 6.28 3.74
1.20 Very Good I VS2 62.3 56.0 5955 6.76 6.81 4.23
1.25 Premium F I1 58.0 59.0 3724 7.12 7.05 4.11
1.52 Premium G VVS2 62.1 58.0 14105 7.40 7.31 4.57
1.03 Very Good D SI2 61.3 61.0 4679 6.46 6.49 3.97
0.44 Premium E SI1 62.3 58.0 778 4.85 4.88 3.03
1.13 Ideal E VVS2 60.1 59.0 11387 6.77 6.81 4.08
1.11 Good H SI2 63.5 60.3 4456 6.49 6.58 4.15
1.00 Fair H VS2 64.8 62.0 4861 6.22 6.13 4.00
0.44 Very Good H IF 61.1 57.0 1194 4.91 4.94 3.01
1.12 Ideal G VS1 61.0 56.0 7632 6.76 6.72 4.11
0.91 Ideal H VS2 62.4 56.0 4678 6.20 6.14 3.85
1.50 Premium D SI2 62.6 59.0 8108 7.20 7.23 4.52
1.03 Premium E SI2 61.8 59.0 4845 6.47 6.42 3.98
0.71 Fair F SI1 59.8 70.0 2458 5.89 5.72 3.48
1.32 Ideal E VS2 62.0 56.0 10919 7.02 7.07 4.37

Numeric Data

Discrete = Counted

Continuous = Measured

Numeric Data

Interval = Greater or less than

Ratio = Percentage more or less

Counts of Numeric Data

Visualization tool

Frequency plots with histograms

species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g sex year
Chinstrap Dream 43.5 18.1 202 3400 female 2009
Gentoo Biscoe 43.6 13.9 217 4900 female 2008
Gentoo Biscoe 48.1 15.1 209 5500 male 2009
Gentoo Biscoe 46.8 14.3 215 4850 female 2009
Gentoo Biscoe 48.5 14.1 220 5300 male 2008
Chinstrap Dream 42.4 17.3 181 3600 female 2007
Gentoo Biscoe 46.1 15.1 215 5100 male 2007
Adelie Torgersen 35.5 17.5 190 3700 female 2008
Adelie Torgersen 38.5 17.9 190 3325 female 2009
Chinstrap Dream 52.8 20.0 205 4550 male 2008
Chinstrap Dream 49.7 18.6 195 3600 male 2008
Adelie Biscoe 37.6 17.0 185 3600 female 2008
Adelie Dream 41.1 17.5 190 3900 male 2009
Gentoo Biscoe 45.2 13.8 215 4750 female 2008
Chinstrap Dream 47.0 17.3 185 3700 female 2007
Adelie Biscoe 42.0 19.5 200 4050 male 2008
Adelie Biscoe 45.6 20.3 191 4600 male 2009
Gentoo Biscoe 46.2 14.5 209 4800 female 2007
Adelie Dream 42.2 18.5 180 3550 female 2007
Adelie Biscoe 43.2 19.0 197 4775 male 2009

Comparing Variables

Dot Plots, Line Graphs & Scatter Plots

Country Country_Code Year Life_Expectency
Honduras HND 2016 73.57500
El Salvador SLV 2016 73.51200
Algeria DZA 2016 76.07800
Guinea GIN 2016 60.01500
Turkey TUR 2016 75.75500
Mongolia MNG 2016 69.28700
Zambia ZMB 2016 61.87400
Ethiopia ETH 2016 65.47500
South Sudan SSD 2016 56.81100
Gabon GAB 2016 66.10500
Lithuania LTU 2016 74.32195
Norway NOR 2016 82.50976
Sierra Leone SLE 2016 51.83500
North Macedonia MKD 2016 75.70300
Israel ISR 2016 82.40732
China CHN 2016 76.25200
Slovenia SVN 2016 80.77561
Mali MLI 2016 57.96600
Dominican Republic DOM 2016 73.86100
Liechtenstein LIE 2016 82.65610

Country Country_Code Year Life_Expectency
Honduras HND 2016 73.57500
El Salvador SLV 2016 73.51200
Algeria DZA 2016 76.07800
Guinea GIN 2016 60.01500
Turkey TUR 2016 75.75500
Mongolia MNG 2016 69.28700
Zambia ZMB 2016 61.87400
Ethiopia ETH 2016 65.47500
South Sudan SSD 2016 56.81100
Gabon GAB 2016 66.10500
Lithuania LTU 2016 74.32195
Norway NOR 2016 82.50976
Sierra Leone SLE 2016 51.83500
North Macedonia MKD 2016 75.70300
Israel ISR 2016 82.40732
China CHN 2016 76.25200
Slovenia SVN 2016 80.77561
Mali MLI 2016 57.96600
Dominican Republic DOM 2016 73.86100
Liechtenstein LIE 2016 82.65610

Aspect Ratio & Colour

Layering Data and Statistics

Country Code Year Population Continent Life.Expectency GDP
Lesotho LSO 2015 2059000 Africa 51.038 2954
Armenia ARM 2015 2926000 Asia 74.467 9552
Uruguay URY 2015 3412000 South America 77.369 19668
Slovakia SVK 2015 5436000 Europe 76.827 25896
Bosnia and Herzegovina BIH 2015 3429000 Europe 76.865 10305
Mali MLI 2015 17439000 Africa 57.509 1563
Romania ROU 2015 19925000 Europe 75.476 20549
Denmark DNK 2015 5689000 Europe 80.475 44939
Jamaica JAM 2015 2891000 North America 74.098 7115
Senegal SEN 2015 14578000 Africa 66.747 2446
Eswatini SWZ 2015 1104000 Africa 55.359 7726
Pakistan PAK 2015 199427008 Asia 66.577 5056
Gambia GMB 2015 2086000 Africa 60.910 1948
Haiti HTI 2015 10696000 North America 62.485 1649
Vietnam VNM 2015 92677000 Asia 75.110 5733
Congo COG 2015 4856000 Africa 63.097 4526
Gabon GAB 2015 1948000 Africa 64.913 14315
Nepal NPL 2015 27015000 Asia 69.515 2607
North Macedonia MKD 2015 2079000 Europe 75.406 13586
Cyprus CYP 2015 1161000 Europe 80.350 25903

Country Code Year Population Continent Life.Expectency GDP
Lesotho LSO 2015 2059000 Africa 51.038 2954
Armenia ARM 2015 2926000 Asia 74.467 9552
Uruguay URY 2015 3412000 South America 77.369 19668
Slovakia SVK 2015 5436000 Europe 76.827 25896
Bosnia and Herzegovina BIH 2015 3429000 Europe 76.865 10305
Mali MLI 2015 17439000 Africa 57.509 1563
Romania ROU 2015 19925000 Europe 75.476 20549
Denmark DNK 2015 5689000 Europe 80.475 44939
Jamaica JAM 2015 2891000 North America 74.098 7115
Senegal SEN 2015 14578000 Africa 66.747 2446
Eswatini SWZ 2015 1104000 Africa 55.359 7726
Pakistan PAK 2015 199427008 Asia 66.577 5056
Gambia GMB 2015 2086000 Africa 60.910 1948
Haiti HTI 2015 10696000 North America 62.485 1649
Vietnam VNM 2015 92677000 Asia 75.110 5733
Congo COG 2015 4856000 Africa 63.097 4526
Gabon GAB 2015 1948000 Africa 64.913 14315
Nepal NPL 2015 27015000 Asia 69.515 2607
North Macedonia MKD 2015 2079000 Europe 75.406 13586
Cyprus CYP 2015 1161000 Europe 80.350 25903

Country Code Year Population Continent Life.Expectency GDP
Lesotho LSO 2015 2059000 Africa 51.038 2954
Armenia ARM 2015 2926000 Asia 74.467 9552
Uruguay URY 2015 3412000 South America 77.369 19668
Slovakia SVK 2015 5436000 Europe 76.827 25896
Bosnia and Herzegovina BIH 2015 3429000 Europe 76.865 10305
Mali MLI 2015 17439000 Africa 57.509 1563
Romania ROU 2015 19925000 Europe 75.476 20549
Denmark DNK 2015 5689000 Europe 80.475 44939
Jamaica JAM 2015 2891000 North America 74.098 7115
Senegal SEN 2015 14578000 Africa 66.747 2446
Eswatini SWZ 2015 1104000 Africa 55.359 7726
Pakistan PAK 2015 199427008 Asia 66.577 5056
Gambia GMB 2015 2086000 Africa 60.910 1948
Haiti HTI 2015 10696000 North America 62.485 1649
Vietnam VNM 2015 92677000 Asia 75.110 5733
Congo COG 2015 4856000 Africa 63.097 4526
Gabon GAB 2015 1948000 Africa 64.913 14315
Nepal NPL 2015 27015000 Asia 69.515 2607
North Macedonia MKD 2015 2079000 Europe 75.406 13586
Cyprus CYP 2015 1161000 Europe 80.350 25903

Country Code Year Population Continent Life.Expectency GDP
Lesotho LSO 2015 2059000 Africa 51.038 2954
Armenia ARM 2015 2926000 Asia 74.467 9552
Uruguay URY 2015 3412000 South America 77.369 19668
Slovakia SVK 2015 5436000 Europe 76.827 25896
Bosnia and Herzegovina BIH 2015 3429000 Europe 76.865 10305
Mali MLI 2015 17439000 Africa 57.509 1563
Romania ROU 2015 19925000 Europe 75.476 20549
Denmark DNK 2015 5689000 Europe 80.475 44939
Jamaica JAM 2015 2891000 North America 74.098 7115
Senegal SEN 2015 14578000 Africa 66.747 2446
Eswatini SWZ 2015 1104000 Africa 55.359 7726
Pakistan PAK 2015 199427008 Asia 66.577 5056
Gambia GMB 2015 2086000 Africa 60.910 1948
Haiti HTI 2015 10696000 North America 62.485 1649
Vietnam VNM 2015 92677000 Asia 75.110 5733
Congo COG 2015 4856000 Africa 63.097 4526
Gabon GAB 2015 1948000 Africa 64.913 14315
Nepal NPL 2015 27015000 Asia 69.515 2607
North Macedonia MKD 2015 2079000 Europe 75.406 13586
Cyprus CYP 2015 1161000 Europe 80.350 25903

Colour should be meaningful and take into account the nature of the data being graphed. It should also be attune to colour blindness.

Sequential

Diverging

Qualitative

ColorBrewer https://colorbrewer2.org/